Research Residency
Join our world-class research team and advance the future of AI
Shape the Future of AI Research
Our Research Residency program offers exceptional researchers the opportunity to work alongside AI Sync's world-class team on cutting-edge projects that push the boundaries of artificial intelligence. Join us in creating more intelligent, safe, and beneficial AI systems.
Available Programs
AI Safety Research Residency
Join our world-class team working on AI alignment, safety mechanisms, and responsible AI development. This residency focuses on developing robust safety frameworks for multi-model AI systems.
Privacy-Preserving AI Fellowship
Work on groundbreaking research in federated learning, differential privacy, and secure multi-party computation for AI systems. This fellowship allows for flexible scheduling.
Multimodal AI Research Internship
Summer research program focused on developing next-generation multimodal AI systems that can understand and generate content across text, image, audio, and video modalities.
Large Language Model Optimization Residency
Focus on developing novel techniques for efficient training and inference of large language models, including distributed computing and model compression research.
Current Residents
Dr. Priya Sharma
AI Safety Resident
Stanford University
Developing robust AI alignment techniques for multi-agent systems
Alex Chen
Privacy Research Fellow
MIT
Federated learning protocols for secure AI model training
Dr. Maria Rodriguez
Multimodal AI Intern
Carnegie Mellon
Cross-modal representation learning for unified AI understanding
James Liu
LLM Optimization Resident
UC Berkeley
Efficient attention mechanisms for large transformer models
Dr. Sarah Kim
AI Ethics Fellow
Oxford University
Bias detection and mitigation in multi-model AI systems
David Park
Conversational AI Resident
University of Washington
Natural language understanding across multiple AI architectures
Alumni Success Stories
Dr. Emily Zhang
AI Safety Residency 2023
Published 3 papers at NeurIPS, now Research Scientist at DeepMind
Led development of AI alignment framework adopted by 50+ research groups
Michael Johnson
Privacy Fellowship 2023
Founded privacy-focused AI startup, raised $15M Series A
Created open-source differential privacy library with 10K+ GitHub stars
Dr. Lisa Wang
Multimodal Research 2022
Joined as AI Sync Principal Researcher, 5 patent applications
Breakthrough in cross-modal learning adopted in AI Sync platform
Application Process
Submit Application
Complete online application with research statement, CV, and code samples
Initial Review
Our research team reviews applications and shortlists candidates
Technical Interview
Video interview focusing on technical background and research interests
Research Presentation
Present your research and proposed project to our research team
Final Decision
Receive admission decision and begin onboarding process
Questions? Contact our Research Team at research@aisync.com